Nuo Tong

495 total citations
16 papers, 309 citations indexed

About

Nuo Tong is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Nuo Tong has authored 16 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Nuo Tong's work include Radiomics and Machine Learning in Medical Imaging (6 papers), Medical Imaging and Analysis (5 papers) and Medical Image Segmentation Techniques (3 papers). Nuo Tong is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), Medical Imaging and Analysis (5 papers) and Medical Image Segmentation Techniques (3 papers). Nuo Tong collaborates with scholars based in China and United States. Nuo Tong's co-authors include Shuiping Gou, Ke Sheng, Shuyuan Yang, Dan Ruan, Minsong Cao, Robert Chin, X. Sharon Qi, Tianye Niu, Jinsong Zhang and Xiangrong Zhang and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, IEEE Transactions on Medical Imaging and Physics in Medicine and Biology.

In The Last Decade

Nuo Tong

14 papers receiving 305 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Nuo Tong China	7	206	127	105	67	60	16	309
Matthew A. Deeley United States	8	321 1.6×	162 1.3×	276 2.6×	66 1.0×	31 0.5×	15	445
Sharif Elguindi United States	8	240 1.2×	90 0.7×	210 2.0×	35 0.5×	59 1.0×	17	355
Rachel McCarroll United States	10	339 1.6×	101 0.8×	323 3.1×	24 0.4×	62 1.0×	19	475
Steven Michiels Belgium	8	242 1.2×	91 0.7×	188 1.8×	26 0.4×	87 1.4×	16	443
Shaoyan Pan United States	12	258 1.3×	121 1.0×	67 0.6×	88 1.3×	70 1.2×	35	372
Mateusz C. Florkow Netherlands	9	239 1.2×	132 1.0×	107 1.0×	56 0.8×	27 0.5×	12	427
Valerio Fortunati Netherlands	10	207 1.0×	219 1.7×	89 0.8×	61 0.9×	20 0.3×	15	349
Haoyu Zhong China	7	212 1.0×	73 0.6×	49 0.5×	30 0.4×	58 1.0×	21	254
Bowman Williams United States	3	126 0.6×	41 0.3×	70 0.7×	13 0.2×	35 0.6×	5	173

Countries citing papers authored by Nuo Tong

Since Specialization

Citations

This map shows the geographic impact of Nuo Tong's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nuo Tong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nuo Tong more than expected).

Fields of papers citing papers by Nuo Tong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nuo Tong. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nuo Tong. The network helps show where Nuo Tong may publish in the future.

Co-authorship network of co-authors of Nuo Tong

This figure shows the co-authorship network connecting the top 25 collaborators of Nuo Tong. A scholar is included among the top collaborators of Nuo Tong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nuo Tong. Nuo Tong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

Tong, Nuo, Yuanlin Liu, Tao Wang, et al.. (2025). PEPC-Net: Progressive Edge Perception and Completion Network for Precise Identification of Safe Resection Margins in Maxillofacial Cysts. IEEE Transactions on Medical Imaging. 44(11). 4704–4716.

Tong, Nuo, et al.. (2025). Collaborative Knowledge Injection for Concealed Object Detection in MMW Human Inspection. IEEE Transactions on Industrial Informatics. 21(8). 6169–6177.

Tong, Nuo, et al.. (2024). Fully Automatic Fine-Grained Grading of Lumbar Intervertebral Disc Degeneration Using Regional Feature Recalibration Network. IEEE Journal of Biomedical and Health Informatics. 28(5). 3042–3054. 3 indexed citations

Gou, Shuiping, et al.. (2024). Visual interpretable MRI fine grading of meniscus injury for intelligent assisted diagnosis and treatment. npj Digital Medicine. 7(1). 97–97. 9 indexed citations

Tong, Nuo, et al.. (2023). Robust and efficient abdominal CT segmentation using shape constrained multi-scale attention network. Physica Medica. 110. 102595–102595. 8 indexed citations

Gou, Shuiping, et al.. (2023). Auto-segmentation of pancreatic tumor in multi-modal image using transferred DSMask R-CNN network. Biomedical Signal Processing and Control. 83. 104583–104583. 12 indexed citations

Gou, Shuiping, Hua Yang, Nuo Tong, et al.. (2022). Automated cervical tumor segmentation on MR images using multi-view feature attention network. Biomedical Signal Processing and Control. 77. 103832–103832. 5 indexed citations

Gou, Shuiping, et al.. (2021). Automatic segmentation and grading of ankylosing spondylitis on MR images via lightweight hybrid multi-scale convolutional neural network with reinforcement learning. Physics in Medicine and Biology. 66(20). 205002–205002. 5 indexed citations

Tong, Nuo, et al.. (2021). Using neural networks to extend cropped medical images for deformable registration among images with differing scan extents. Medical Physics. 48(8). 4459–4471. 3 indexed citations

10.

Gou, Shuiping, Nuo Tong, X. Sharon Qi, et al.. (2020). Self-channel-and-spatial-attention neural network for automated multi-organ segmentation on head and neck CT images. Physics in Medicine and Biology. 65(24). 245034–245034. 33 indexed citations

11.

Tong, Nuo, Shuiping Gou, Yao Yao, et al.. (2020). Multi-task edge-recalibrated network for male pelvic multi-organ segmentation on CT images. Physics in Medicine and Biology. 66(3). 35001–35001. 6 indexed citations

12.

Tong, Nuo, Shuiping Gou, Tianye Niu, Shuyuan Yang, & Ke Sheng. (2020). Self-paced DenseNet with boundary constraint for automated multi-organ segmentation on abdominal CT images. Physics in Medicine and Biology. 65(13). 135011–135011. 17 indexed citations

13.

Tong, Nuo, Minsong Cao, & Ke Sheng. (2019). Shape Constrained Fully Convolutional DenseNet with Adversarial Training for Multi-organ Segmentation on Head and Neck Low Field MR Images. International Journal of Radiation Oncology*Biology*Physics. 105(1). S93–S93. 3 indexed citations

14.

Tong, Nuo, Shuiping Gou, Shuyuan Yang, Minsong Cao, & Ke Sheng. (2019). Shape constrained fully convolutional DenseNet with adversarial training for multiorgan segmentation on head and neck CT and low‐field MR images. Medical Physics. 46(6). 2669–2682. 47 indexed citations

15.

Tong, Nuo, Shuiping Gou, Shuyuan Yang, Dan Ruan, & Ke Sheng. (2018). Fully automatic multi‐organ segmentation for head and neck cancer radiotherapy using shape representation model constrained fully convolutional neural networks. Medical Physics. 45(10). 4558–4567. 157 indexed citations

16.

Tong, Nuo, et al.. (2016). Gastric Lymph nodes detection based on visual saliency and dictionary learning. 19. 2810–2813. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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